With the rapid development of the radio and television industry, the traditional monitoring methods are faced with the problems of dealing with big data, real-time and accuracy. This paper analyzes the limitations of traditional radio and television monitoring methods, and describes the application architecture of Artificial Intelligence (AI) technology in the field of radio and television monitoring, especially the combination of video monitoring and face recognition technology, the application of text recognition in anti-non-non-monitoring, and the implementation method of AI image recognition algorithm. Through the discussion of these technologies, it shows how AI can improve the efficiency and accuracy of radio and television monitoring, ensure the safety and quality of content, and promote the development of industry monitoring to the direction of intelligence and automation.
关键词
广播电视/人工智能/信源监测
Key words
broadcasting and television/artificial intelligence/source monitoring
维普
万方数据